我国省际工业污染治理投资强度的策略互动性——基于空间计量的实证测度

利用1999—2010年我国29个省级辖区的工业污染治理投资强度的空间面板数据,对我国各省级辖区工业污染治理投资强度的互动性进行实证研究。实证结果显示:各省级辖区在确定工业污染治理投资强度时,不仅考虑本辖区的工业污染水平,还会考虑相邻辖区的工业污染治理投资强度,即各省际的工业污染治理投资强度存在显著的策略互动性;相对于人均GDP和财政收入能力而言,省际环保策略是制约我国工业污染治理投资强度的关键因素。     

Understanding and Measuring Entrepreneurial Leadership Style

Although entrepreneurial leadership is embraced in the popular press and in classrooms, academic knowledge remains underdeveloped. We develop the construct of entrepreneurial leadership and argue that it involves influencing and directing the performance of group members toward achieving those organizational goals that involve recognizing and exploiting entrepreneurial opportunities. We discuss environmental, organizational, and follower‐specific contingencies that may influence the success of entrepreneurial leadership, and we test the reliability and validity of an empirical measure for this construct (the ENTRELEAD scale). Using this novel measurement tool, we find that entrepreneurial leadership is more prevalent among founder‐leaders than nonfounder leaders, which indicates construct validity.     

Access price structure and entrant build-or-buy incentives in mobile markets

Journal of Regulatory Economics - We consider a market structure with three mobile providers, two of which are vertically integrated with nationwide coverage. The third provider (an entrant)...     

Risk,trust, and altruism in genetic data sharing

How does concern about genetic data privacy compare with other concerns? We conduct behavioral experiments to compare risk attitudes towards sharing genetic data with a healthcare provider with risk attitudes towards sharing financial data with a money manager. Both scenarios involve identical decisions and monetary stakes, permitting us to focus on how the framing of data sharing influences attitudes. To delve deeper into individual motivations to share data, we provide treatments that study how data sharers' altruism and trust affect their decisions. Our findings (with 162 subjects) indicate that individuals are more willing to risk a loss to privacy of genetic data (for an anticipated return framed as health benefits) than they are to risk loss of financial data (for an anticipated return in financial benefits). We also find that 50%–60% of data recipients choose to protect another person's data, with no significant differences between frames.